Triple

T17496871
Position Surface form Disambiguated ID Type / Status
Subject Lobkovice E426083 entity
Predicate locatedOn P40 FINISHED
Object Labe River NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Labe River | Statement: [Lobkovice, locatedOn, Labe River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Labe River
Context triple: [Lobkovice, locatedOn, Labe River]
  • A. Labe chosen
    Labe, known internationally as the Elbe, is a major Central European river that flows from the Czech Republic through Germany to the North Sea.
  • B. Havel River
    The Havel River is a major waterway in northeastern Germany that flows through Berlin and Brandenburg, connecting numerous lakes and serving as an important route for transport and recreation.
  • C. Vltava River
    The Vltava River is the longest river in the Czech Republic, flowing through the capital city of Prague and serving as a central feature of its landscape and history.
  • D. Váh River
    The Váh River is the longest river in Slovakia, flowing from the Tatra Mountains through much of the country before joining the Danube.
  • E. river Doubs
    The river Doubs is a major waterway in eastern France and western Switzerland, known for its winding course through the Jura Mountains and its scenic valleys and gorges.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d889dccf7481909264a1844a2e9100 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4520e9c8c8190aa955766bc915d26 completed April 19, 2026, 3:54 a.m.
Created at: April 10, 2026, 5:48 a.m.